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Note: Links lead to the DBLP on the Web. Daniel Keren Amir Bar-Or , Ran Wolff , Assaf Schuster , Daniel Keren: Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases. SDM 2005 Amir Bar-Or , Daniel Keren, Assaf Schuster , Ran Wolff : Hierarchical Decision Tree Induction in Distributed Genomic Databases. IEEE Trans. Knowl. Data Eng. 17 (8): 1138-1151 (2005) Margarita Osadchy , Daniel Keren: A rejection-based method for event detection in video. IEEE Trans. Circuits Syst. Video Techn. 14 (4): 534-541 (2004) Daniel Keren: Topologically Faithful Fitting of Simple Closed Curves. IEEE Trans. Pattern Anal. Mach. Intell. 26 (1): 118-123 (2004) Liran Goshen , Ilan Shimshoni , P. Anandan , Daniel Keren: Recovery of Epipolar Geometry as a Manifold Fitting Problem. ICCV 2003 : 1321-1328 Daniel Keren: Recognizing image "style" and activities in video using local features and naive Bayes. Pattern Recognition Letters 24 (16): 2913-2922 (2003) Daniel Keren: Painter Identification Using Local Features and Naive Bayes. ICPR (2) 2002 : 474-477 Daniel Keren, Ilan Shimshoni , Liran Goshen , Michael Werman : All Points Considered: A Maximum Likelihood Method for Motion Recovery. Theoretical Foundations of Computer Vision 2002 : 72-85 Margarita Osadchy , Daniel Keren, Yaniv Gal : Anti-Sequences: Event Detection by Frame Stacking. CVPR (2) 2001 : 46-51 Margarita Osadchy , Daniel Keren: Image Detection Under Varying Illumination and Pose. ICCV 2001 : 668-673 Michael Werman , Daniel Keren: A Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data. IEEE Trans. Pattern Anal. Mach. Intell. 23 (5): 528-534 (2001) Daniel Keren, Margarita Osadchy , Craig Gotsman : Antifaces: A Novel, Fast Method for Image Detection. IEEE Trans. Pattern Anal. Mach. Intell. 23 (7): 747-761 (2001) Daniel Keren, Margarita Osadchy , Craig Gotsman : Anti-Faces for Detection. ECCV (1) 2000 : 134-148 Michael Werman , Daniel Keren: A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data. CVPR 1999 : 2552-2558 Daniel Keren, Craig Gotsman : Fitting Curves and Surfaces With Constrained Implicit Polynomials. IEEE Trans. Pattern Anal. Mach. Intell. 21 (1): 31-41 (1999) Daniel Keren, Margarita Osadchy : Restoring subsampled color images. Mach. Vis. Appl. 11 (4): 197-202 (1999) Daniel Keren, Ehud Rivlin , Ilan Shimshoni , Isaac Weiss : Recognizing Surfaces from 3D Curves. ICIP (3) 1998 : 551-555 Daniel Keren, Ehud Rivlin , Ilan Shimshoni , Isaac Weiss : Recognizing Surfaces Using Curve Invariants and Differential Properties of Curves and Surfaces. ICRA 1998 : 3375-3381 Jayashree Subrahmonia , David B. Cooper , Daniel Keren: Practical Reliable Bayesian Recognition of 2D and 3D Objects Using Implicit Polynomials and Algebraic Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 18 (5): 505-519 (1996) Zhibin Lei , Daniel Keren, David B. Cooper : Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants. ICIP 1995 : 2635-2638 Daniel Keren, David B. Cooper , Jayashree Subrahmonia : Describing Complicated Objects by Implicit Polynomials. IEEE Trans. Pattern Anal. Mach. Intell. 16 (1): 38-53 (1994) Daniel Keren: Using Symbolic Computation to Find Algebraic Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 16 (11): 1143-1149 (1994) Daniel Keren, Jayashree Subrahmonia , David B. Cooper : Integrating Algebraic Curves and Surfaces, Algebraic Invariants and Bayesian Methods for 2D and 3D Object Recognition. Applications of Invariance in Computer Vision 1993 : 493-510 Daniel Keren, Michael Werman : Probabilistic Analysis of Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 15 (10): 982-995 (1993) 1 [ 20 ] 2 [ 23 ] [ 24 ] 3 [ 2 ] [ 4 ] [ 5 ] [ 6 ] 4 [ 16 ] 5 [ 17 ] [ 20 ] 6 [ 10 ] [ 12 ] [ 13 ] 7 [ 5 ] 8 [ 9 ] [ 12 ] [ 13 ] [ 15 ] [ 16 ] [ 22 ] 9 [ 7 ] [ 8 ] 10 [ 23 ] [ 24 ] 11 [ 7 ] [ 8 ] [ 17 ] [ 20 ] 12 [ 2 ] [ 4 ] [ 6 ] 13 [ 7 ] [ 8 ] 14 [ 1 ] [ 11 ] [ 14 ] [ 17 ] 15 [ 23 ] [ 24 ]  ©2006 Association for Computing Machinery |
